Tim Mitchell

Tim Mitchell is a business intelligence consultant, author, and trainer. He has been building data solutions for over 20 years, and is a 13-time recipient of the Microsoft Data Platform MVP award (2010-2022). He is the founder and principal data architect at Tyleris Data Solutions.

Tim has spoken at international and local events including the SQL PASS Summit, SQLBits, SQL Connections, along with dozens of tech fests, code camps, and SQL Saturday events. He is the author of the book The SSIS Catalog: Install, Manage, Secure, and Monitor your Enterprise ETL Infrastructure, coauthor of the book SSIS Design Patterns, and is a contributing author on the charity book project MVP Deep Dives Vol 2.

You can visit his website and blog at TimMitchell.net or follow him on Bluesky at https://bsky.app/profile/tmitch.net.
  • Interests: SQL Server, Data Warehousing, ETL, Data Architecture, Python, Dbt

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Blog Post

SQL Server Temporal Tables

Temporal data storage, which was defined in the ANSI SQL:2011 standard, describes an architecture in which relational databases maintain row-level...

2017-10-19 (first published: )

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Blogs

Solving SQL Server Mysteries with a Whole Gang of Sleuths -Scooby Dooing Episode 4

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One thing I’ve always loved about the Scooby-Doo cartoon is that he never solved...

SQL Server Availability Groups

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Flexibility and Scale at the Database Level When SQL Server 2012 introduced Availability Groups...

Modify Power BI page visibility and active status with Semantic Link Labs

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Setting page visibility and the active page are often overlooked last steps when publishing...

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Password Guidance

By Steve Jones - SSC Editor

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Using table variables in T-SQL

By Alessandro Mortola

Comments posted to this topic are about the item Using table variables in T-SQL

Azure elastic query credential question

By cphite

I am trying to check out elastic query between two test instances we have...

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Question of the Day

Using table variables in T-SQL

What happens if you run the following code in SQL Server 2022+? 

declare @t1 table (id int);

insert into @t1 (id) values (NULL), (1), (2), (3);

select count(*)
from @t1
where @t1.id is distinct from NULL;
 

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